subject:(Twitter)

California State University – East Bay

1. Alexandru, Amalia Nicoleta. Politics on Twitter : The Case of the Affordable Care Act and Government Shutdown.

Degree: 2016, California State University – East Bay

URL: http://hdl.handle.net/10211.3/164277

► This research paper is focused on the cultural change Twitter has inflected on politics. The ObamaCare as a discursive phenomenon on Twitter provides some valuable… (more)

Subjects/Keywords: Twitter

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APA (6^th Edition):

Alexandru, A. N. (2016). Politics on Twitter : The Case of the Affordable Care Act and Government Shutdown. (Thesis). California State University – East Bay. Retrieved from http://hdl.handle.net/10211.3/164277

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Alexandru, Amalia Nicoleta. “Politics on Twitter : The Case of the Affordable Care Act and Government Shutdown.” 2016. Thesis, California State University – East Bay. Accessed March 01, 2021. http://hdl.handle.net/10211.3/164277.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Alexandru, Amalia Nicoleta. “Politics on Twitter : The Case of the Affordable Care Act and Government Shutdown.” 2016. Web. 01 Mar 2021.

Vancouver:

Alexandru AN. Politics on Twitter : The Case of the Affordable Care Act and Government Shutdown. [Internet] [Thesis]. California State University – East Bay; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10211.3/164277.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alexandru AN. Politics on Twitter : The Case of the Affordable Care Act and Government Shutdown. [Thesis]. California State University – East Bay; 2016. Available from: http://hdl.handle.net/10211.3/164277

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Iso, Hayate. Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction : 予測単語モデル : ツイッターを用いたインフルエンザ流行予測; ヨソクタンゴモデル : ツイッターオモチイタインフルエンザリュウコウ　ヨソク.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

URL: http://hdl.handle.net/10061/12168

Subjects/Keywords: Twitter

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APA (6^th Edition):

Iso, H. (n.d.). Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction : 予測単語モデル : ツイッターを用いたインフルエンザ流行予測; ヨソクタンゴモデル : ツイッターオモチイタインフルエンザリュウコウ　ヨソク. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/12168

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Iso, Hayate. “Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction : 予測単語モデル : ツイッターを用いたインフルエンザ流行予測; ヨソクタンゴモデル : ツイッターオモチイタインフルエンザリュウコウ　ヨソク.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed March 01, 2021. http://hdl.handle.net/10061/12168.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Iso, Hayate. “Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction : 予測単語モデル : ツイッターを用いたインフルエンザ流行予測; ヨソクタンゴモデル : ツイッターオモチイタインフルエンザリュウコウ　ヨソク.” Web. 01 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Iso H. Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction : 予測単語モデル : ツイッターを用いたインフルエンザ流行予測; ヨソクタンゴモデル : ツイッターオモチイタインフルエンザリュウコウ　ヨソク. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10061/12168.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Iso H. Forecasting Word Model: Twitter-based Influenza Surveillance and Prediction : 予測単語モデル : ツイッターを用いたインフルエンザ流行予測; ヨソクタンゴモデル : ツイッターオモチイタインフルエンザリュウコウ　ヨソク. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/12168

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Tampereen ammattikorkeakoulu

3. Reijonen, Samu. Sosiaalisen median mahdollisuudet yritysten markkinoinnille : yritys ja uskallus.

Degree: 2010, Tampereen ammattikorkeakoulu

URL: http://www.theseus.fi/handle/10024/10389

Subjects/Keywords: Twitter

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APA (6^th Edition):

Reijonen, S. (2010). Sosiaalisen median mahdollisuudet yritysten markkinoinnille : yritys ja uskallus. (Thesis). Tampereen ammattikorkeakoulu. Retrieved from http://www.theseus.fi/handle/10024/10389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Reijonen, Samu. “Sosiaalisen median mahdollisuudet yritysten markkinoinnille : yritys ja uskallus.” 2010. Thesis, Tampereen ammattikorkeakoulu. Accessed March 01, 2021. http://www.theseus.fi/handle/10024/10389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Reijonen, Samu. “Sosiaalisen median mahdollisuudet yritysten markkinoinnille : yritys ja uskallus.” 2010. Web. 01 Mar 2021.

Vancouver:

Reijonen S. Sosiaalisen median mahdollisuudet yritysten markkinoinnille : yritys ja uskallus. [Internet] [Thesis]. Tampereen ammattikorkeakoulu; 2010. [cited 2021 Mar 01]. Available from: http://www.theseus.fi/handle/10024/10389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reijonen S. Sosiaalisen median mahdollisuudet yritysten markkinoinnille : yritys ja uskallus. [Thesis]. Tampereen ammattikorkeakoulu; 2010. Available from: http://www.theseus.fi/handle/10024/10389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

4. Russell, Annelise. The politics of prioritization.

Degree: PhD, Government, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/68543

► Political agenda-setting research primarily studies how political institutions direct policy attention and gives little consideration to individual decision-making (Baumgartner and Jones 2009; Kingdon 1995; Baumgartner… (more)

Subjects/Keywords: Congress; Twitter

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APA (6^th Edition):

Russell, A. (2018). The politics of prioritization. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68543

Chicago Manual of Style (16^th Edition):

Russell, Annelise. “The politics of prioritization.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed March 01, 2021. http://hdl.handle.net/2152/68543.

MLA Handbook (7^th Edition):

Russell, Annelise. “The politics of prioritization.” 2018. Web. 01 Mar 2021.

Vancouver:

Russell A. The politics of prioritization. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2152/68543.

Council of Science Editors:

Russell A. The politics of prioritization. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68543

5. Carron, Ashley A. I tweet therefore I am : an interview study of identity development and portrayal of Twitter users utilizing the communication theory of identity.

Degree: MA, 2013, Oregon State University

URL: http://hdl.handle.net/1957/42702

► The rise of social networking is more prevalent in today's society than ever before. Of the existing social networking platforms, Twitter is widely recognized as… (more)

Subjects/Keywords: Twitter; Twitter

…their online identity on Twitter. Since its conception in October of 2006, Twitter has… …compared to other social networking websites, such as Facebook and MySpace, Twitter is seen by… …16). It is this quick growth, as well as the simple, yet effective design of Twitter… …of Twitter comes the challenge for users to develop new strategies of navigation when… …an exploration of how Twitter users articulate aspects of their identity through their…

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APA (6^th Edition):

Carron, A. A. (2013). I tweet therefore I am : an interview study of identity development and portrayal of Twitter users utilizing the communication theory of identity. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/42702

Chicago Manual of Style (16^th Edition):

Carron, Ashley A. “I tweet therefore I am : an interview study of identity development and portrayal of Twitter users utilizing the communication theory of identity.” 2013. Masters Thesis, Oregon State University. Accessed March 01, 2021. http://hdl.handle.net/1957/42702.

MLA Handbook (7^th Edition):

Carron, Ashley A. “I tweet therefore I am : an interview study of identity development and portrayal of Twitter users utilizing the communication theory of identity.” 2013. Web. 01 Mar 2021.

Vancouver:

Carron AA. I tweet therefore I am : an interview study of identity development and portrayal of Twitter users utilizing the communication theory of identity. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1957/42702.

Council of Science Editors:

Carron AA. I tweet therefore I am : an interview study of identity development and portrayal of Twitter users utilizing the communication theory of identity. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/42702

Universidade do Porto

6. Carvalho, Sara Filipa Lemos de. Real-time sensing of traffic information in twitter messages.

Degree: 2010, Universidade do Porto

URL: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/58384

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 2010 Advisors/Committee Members: Rossetti, Rosaldo José Fernandes, Sarmento, Luís António Diniz Fernandes de Morais, Universidade do Porto. Faculdade de Engenharia.

Subjects/Keywords: Tráfego urbano; Twitter

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APA (6^th Edition):

Carvalho, S. F. L. d. (2010). Real-time sensing of traffic information in twitter messages. (Thesis). Universidade do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/58384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Carvalho, Sara Filipa Lemos de. “Real-time sensing of traffic information in twitter messages.” 2010. Thesis, Universidade do Porto. Accessed March 01, 2021. http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/58384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Carvalho, Sara Filipa Lemos de. “Real-time sensing of traffic information in twitter messages.” 2010. Web. 01 Mar 2021.

Vancouver:

Carvalho SFLd. Real-time sensing of traffic information in twitter messages. [Internet] [Thesis]. Universidade do Porto; 2010. [cited 2021 Mar 01]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/58384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Carvalho SFLd. Real-time sensing of traffic information in twitter messages. [Thesis]. Universidade do Porto; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/58384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Plenzick, Christopher. Can You Really Predict Markets With Twitter?.

Degree: MS, Economics & Finance, 2016, University of North Dakota

URL: https://commons.und.edu/theses/2064

► In this paper, I attempt to apply an emotional proxy derived by applying the Affective Norms for English Words (ANEW) to messages posted to… (more)

Subjects/Keywords: Markets; Sentiment; Twitter

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APA (6^th Edition):

Plenzick, C. (2016). Can You Really Predict Markets With Twitter?. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/2064

Chicago Manual of Style (16^th Edition):

Plenzick, Christopher. “Can You Really Predict Markets With Twitter?.” 2016. Masters Thesis, University of North Dakota. Accessed March 01, 2021. https://commons.und.edu/theses/2064.

MLA Handbook (7^th Edition):

Plenzick, Christopher. “Can You Really Predict Markets With Twitter?.” 2016. Web. 01 Mar 2021.

Vancouver:

Plenzick C. Can You Really Predict Markets With Twitter?. [Internet] [Masters thesis]. University of North Dakota; 2016. [cited 2021 Mar 01]. Available from: https://commons.und.edu/theses/2064.

Council of Science Editors:

Plenzick C. Can You Really Predict Markets With Twitter?. [Masters Thesis]. University of North Dakota; 2016. Available from: https://commons.und.edu/theses/2064

Central Connecticut State University

8. Eggers, Jim (Charles James), 1970-. Consumer Sentiment Analysis of Twitter : A Multi-Industry Analysis.

Degree: Department of Mathematical Sciences, 2016, Central Connecticut State University

URL: http://content.library.ccsu.edu/u?/ccsutheses,2355

►

Using publically available Twitter data and open source R computing tools this thesis emphasizes the value of utilizing all types of data available when creating… (more)

Subjects/Keywords: Twitter.; Consumers – Attitudes.

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APA (6^th Edition):

Eggers, Jim (Charles James), 1. (2016). Consumer Sentiment Analysis of Twitter : A Multi-Industry Analysis. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Eggers, Jim (Charles James), 1970-. “Consumer Sentiment Analysis of Twitter : A Multi-Industry Analysis.” 2016. Thesis, Central Connecticut State University. Accessed March 01, 2021. http://content.library.ccsu.edu/u?/ccsutheses,2355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Eggers, Jim (Charles James), 1970-. “Consumer Sentiment Analysis of Twitter : A Multi-Industry Analysis.” 2016. Web. 01 Mar 2021.

Vancouver:

Eggers, Jim (Charles James) 1. Consumer Sentiment Analysis of Twitter : A Multi-Industry Analysis. [Internet] [Thesis]. Central Connecticut State University; 2016. [cited 2021 Mar 01]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eggers, Jim (Charles James) 1. Consumer Sentiment Analysis of Twitter : A Multi-Industry Analysis. [Thesis]. Central Connecticut State University; 2016. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Louisiana State University

9. Hester, Landon T. Advancing Democracy One Tweet at a Time.

Degree: MMC, Communication, 2017, Louisiana State University

URL: https://digitalcommons.lsu.edu/gradschool_theses/4308

► This thesis takes a broad look how citizens use social media to foster political discussion, enhance political knowledge and engage in political participation in… (more)

Subjects/Keywords: democracy; Twitter; Facebook

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APA (6^th Edition):

Hester, L. T. (2017). Advancing Democracy One Tweet at a Time. (Masters Thesis). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_theses/4308

Chicago Manual of Style (16^th Edition):

Hester, Landon T. “Advancing Democracy One Tweet at a Time.” 2017. Masters Thesis, Louisiana State University. Accessed March 01, 2021. https://digitalcommons.lsu.edu/gradschool_theses/4308.

MLA Handbook (7^th Edition):

Hester, Landon T. “Advancing Democracy One Tweet at a Time.” 2017. Web. 01 Mar 2021.

Vancouver:

Hester LT. Advancing Democracy One Tweet at a Time. [Internet] [Masters thesis]. Louisiana State University; 2017. [cited 2021 Mar 01]. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4308.

Council of Science Editors:

Hester LT. Advancing Democracy One Tweet at a Time. [Masters Thesis]. Louisiana State University; 2017. Available from: https://digitalcommons.lsu.edu/gradschool_theses/4308

Universiteit Utrecht

10. Andalibi, F. The Composition and Structure of the Online Community around Corporate Twitter accounts.

Degree: 2014, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/296611

► With a user base of over 517 million registered users, Twitter is the second most used popular social networking site, behind Facebook. A growing body… (more)

Subjects/Keywords: twitter; twitter follower network; online twitter community; social network analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Andalibi, F. (2014). The Composition and Structure of the Online Community around Corporate Twitter accounts. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296611

Chicago Manual of Style (16^th Edition):

Andalibi, F. “The Composition and Structure of the Online Community around Corporate Twitter accounts.” 2014. Masters Thesis, Universiteit Utrecht. Accessed March 01, 2021. http://dspace.library.uu.nl:8080/handle/1874/296611.

MLA Handbook (7^th Edition):

Andalibi, F. “The Composition and Structure of the Online Community around Corporate Twitter accounts.” 2014. Web. 01 Mar 2021.

Vancouver:

Andalibi F. The Composition and Structure of the Online Community around Corporate Twitter accounts. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Mar 01]. Available from: http://dspace.library.uu.nl:8080/handle/1874/296611.

Council of Science Editors:

Andalibi F. The Composition and Structure of the Online Community around Corporate Twitter accounts. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296611

University of North Texas

11. Kilgore, Whitney Kay. Design of Informal Online Learning Communities in Education.

Degree: 2016, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc862820/

► The U.S. Department of Education, Office of Ed Tech Future Ready program has encouraged the use of open informal learning communities as professional learning opportunities… (more)

Subjects/Keywords: Informal Learning; K12 Educator; Professional Learning; Twitter chat; hashtag twitter chat; Twitter chat designs

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APA (6^th Edition):

Kilgore, W. K. (2016). Design of Informal Online Learning Communities in Education. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc862820/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Kilgore, Whitney Kay. “Design of Informal Online Learning Communities in Education.” 2016. Thesis, University of North Texas. Accessed March 01, 2021. https://digital.library.unt.edu/ark:/67531/metadc862820/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Kilgore, Whitney Kay. “Design of Informal Online Learning Communities in Education.” 2016. Web. 01 Mar 2021.

Vancouver:

Kilgore WK. Design of Informal Online Learning Communities in Education. [Internet] [Thesis]. University of North Texas; 2016. [cited 2021 Mar 01]. Available from: https://digital.library.unt.edu/ark:/67531/metadc862820/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kilgore WK. Design of Informal Online Learning Communities in Education. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc862820/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universiteit Utrecht

12. Tops, H.T. The predictive power of tweets: an exploratory study.

Degree: 2014, Universiteit Utrecht

URL: http://dspace.library.uu.nl:8080/handle/1874/294945

► We describe a system that estimates when an event is going to happen from a stream of microtexts on Twitter referring to that event. Using… (more)

Subjects/Keywords: machine learning; event prediction; Twitter

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APA (6^th Edition):

Tops, H. T. (2014). The predictive power of tweets: an exploratory study. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/294945

Chicago Manual of Style (16^th Edition):

Tops, H T. “The predictive power of tweets: an exploratory study.” 2014. Masters Thesis, Universiteit Utrecht. Accessed March 01, 2021. http://dspace.library.uu.nl:8080/handle/1874/294945.

MLA Handbook (7^th Edition):

Tops, H T. “The predictive power of tweets: an exploratory study.” 2014. Web. 01 Mar 2021.

Vancouver:

Tops HT. The predictive power of tweets: an exploratory study. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Mar 01]. Available from: http://dspace.library.uu.nl:8080/handle/1874/294945.

Council of Science Editors:

Tops HT. The predictive power of tweets: an exploratory study. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/294945

Dalhousie University

13. Kumar, Mathavan. AUTOMATIC IDENTIFICATION OF USER INTEREST FROM SOCIAL MEDIA.

Degree: Master of Computer Science, Faculty of Computer Science, 2015, Dalhousie University

URL: http://hdl.handle.net/10222/56292

► Automatic identification of user interest from social media has gained much attention in the recent years. In Twitter, users could post tweets about a wide… (more)

Subjects/Keywords: Text classification; Social media; Twitter

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APA (6^th Edition):

Kumar, M. (2015). AUTOMATIC IDENTIFICATION OF USER INTEREST FROM SOCIAL MEDIA. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/56292

Chicago Manual of Style (16^th Edition):

Kumar, Mathavan. “AUTOMATIC IDENTIFICATION OF USER INTEREST FROM SOCIAL MEDIA.” 2015. Masters Thesis, Dalhousie University. Accessed March 01, 2021. http://hdl.handle.net/10222/56292.

MLA Handbook (7^th Edition):

Kumar, Mathavan. “AUTOMATIC IDENTIFICATION OF USER INTEREST FROM SOCIAL MEDIA.” 2015. Web. 01 Mar 2021.

Vancouver:

Kumar M. AUTOMATIC IDENTIFICATION OF USER INTEREST FROM SOCIAL MEDIA. [Internet] [Masters thesis]. Dalhousie University; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10222/56292.

Council of Science Editors:

Kumar M. AUTOMATIC IDENTIFICATION OF USER INTEREST FROM SOCIAL MEDIA. [Masters Thesis]. Dalhousie University; 2015. Available from: http://hdl.handle.net/10222/56292

Universidade do Rio Grande do Norte

14. Freire, Alan Eugênio Dantas. O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter .

Degree: 2014, Universidade do Rio Grande do Norte

URL: http://repositorio.ufrn.br/handle/123456789/19923

► The revolution caused by the internet and its various social networks eventually bring forth fruitful reflections on cyberculture and the power of identity construction. What… (more)

▼ The revolution caused by the internet and its various social networks eventually bring forth fruitful reflections on cyberculture and the power of identity construction. What seemed purely fashion has become way of being, representation of self, reality creation (Lévy, 1996). Considering language as a social phenomenon, which occurs through interaction, as explicit in Bakhtin (1929), the speech aired on social networks shapes the profile of their users, constructing identities which, according to Hall (2006), are multiple and non-permanent . This research seeks to examine the use of Twitter by school students, developing a reflection on the construction of their own identities in cyberspace. The subjects are students of Educandário Nossa Senhora das Vitórias, private school in Assú/RN, all graduates from high school. Understanding the Vestibular year as a decisive and a reflection engine ever present about their condition of students, subjects eventually express their anxieties, fears and perspectives in the virtual environment, providing us with enough material to analyze how they are high school students, expectations for appropriate selection processes, plus several representations belonging to the school environment. From the discourse conveyed on Twitter expressed in Featured posts, this study reveals the identities of high school students that emerge from it, which led the cast of some evidence. From them, despite the multiplicity of identities observed, presented some common aspects that corroborate the requirements provided for specific objectives, such as: feeling of belonging to a group - class and school; change of routine and behavior towards education; desecration of traditional teaching practices; changing the identity of students'writings. The analysis of postings enables us to know the perceptions of students regarding the school, the disciplines , the pace of studies, interest in school practices, and from such evidence, the perception of how vestibular modify your daily life and a fondness their identities as school students. Advisors/Committee Members: Faria, Marilia Varella Bezerra de (advisor), 40604527420 (advisor), http://lattes.cnpq.br/9374738955386775 (advisor).

Subjects/Keywords: Cibercultura; Identidade; Linguagem; Twitter; Vestibulando

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Freire, A. E. D. (2014). O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/19923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Freire, Alan Eugênio Dantas. “O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter .” 2014. Thesis, Universidade do Rio Grande do Norte. Accessed March 01, 2021. http://repositorio.ufrn.br/handle/123456789/19923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Freire, Alan Eugênio Dantas. “O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter .” 2014. Web. 01 Mar 2021.

Vancouver:

Freire AED. O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2014. [cited 2021 Mar 01]. Available from: http://repositorio.ufrn.br/handle/123456789/19923.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Freire AED. O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter . [Thesis]. Universidade do Rio Grande do Norte; 2014. Available from: http://repositorio.ufrn.br/handle/123456789/19923

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

15. Makazhanov, Aibek. An Interaction-driven Approach for Inferring the Polarity of Collaborations in Wikipedia and Political Preferences on Twitter.

Degree: MS, Department of Computing Science, 2012, University of Alberta

URL: https://era.library.ualberta.ca/files/0c483j976

► In this thesis we explore interactions of users of two major information sources, namely Wikipedia and Twitter. In particular, we show that revision histories of… (more)

Subjects/Keywords: social interactions; wikipedia; twitter

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Makazhanov, A. (2012). An Interaction-driven Approach for Inferring the Polarity of Collaborations in Wikipedia and Political Preferences on Twitter. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/0c483j976

Chicago Manual of Style (16^th Edition):

Makazhanov, Aibek. “An Interaction-driven Approach for Inferring the Polarity of Collaborations in Wikipedia and Political Preferences on Twitter.” 2012. Masters Thesis, University of Alberta. Accessed March 01, 2021. https://era.library.ualberta.ca/files/0c483j976.

MLA Handbook (7^th Edition):

Makazhanov, Aibek. “An Interaction-driven Approach for Inferring the Polarity of Collaborations in Wikipedia and Political Preferences on Twitter.” 2012. Web. 01 Mar 2021.

Vancouver:

Makazhanov A. An Interaction-driven Approach for Inferring the Polarity of Collaborations in Wikipedia and Political Preferences on Twitter. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2021 Mar 01]. Available from: https://era.library.ualberta.ca/files/0c483j976.

Council of Science Editors:

Makazhanov A. An Interaction-driven Approach for Inferring the Polarity of Collaborations in Wikipedia and Political Preferences on Twitter. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/0c483j976

Universidade do Porto

16. Sousa, Daniel José Rodrigues de. Caracterização de ligações entre utilizadores em redes sociais.

Degree: 2010, Universidade do Porto

URL: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/57672

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 2010 Advisors/Committee Members: Rodrigues, Maria Eduarda Silva Mendes, Universidade do Porto. Faculdade de Engenharia.

Subjects/Keywords: Redes sociais; Twitter; Comunidades online

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sousa, D. J. R. d. (2010). Caracterização de ligações entre utilizadores em redes sociais. (Thesis). Universidade do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/57672

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sousa, Daniel José Rodrigues de. “Caracterização de ligações entre utilizadores em redes sociais.” 2010. Thesis, Universidade do Porto. Accessed March 01, 2021. http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/57672.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sousa, Daniel José Rodrigues de. “Caracterização de ligações entre utilizadores em redes sociais.” 2010. Web. 01 Mar 2021.

Vancouver:

Sousa DJRd. Caracterização de ligações entre utilizadores em redes sociais. [Internet] [Thesis]. Universidade do Porto; 2010. [cited 2021 Mar 01]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/57672.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sousa DJRd. Caracterização de ligações entre utilizadores em redes sociais. [Thesis]. Universidade do Porto; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/57672

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidade do Rio Grande do Norte

17. Freire, Alan Eugênio Dantas. O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter .

Degree: 2014, Universidade do Rio Grande do Norte

URL: http://repositorio.ufrn.br/handle/123456789/19923

► The revolution caused by the internet and its various social networks eventually bring forth fruitful reflections on cyberculture and the power of identity construction. What… (more)

▼ The revolution caused by the internet and its various social networks eventually bring forth fruitful reflections on cyberculture and the power of identity construction. What seemed purely fashion has become way of being, representation of self, reality creation (Lévy, 1996). Considering language as a social phenomenon, which occurs through interaction, as explicit in Bakhtin (1929), the speech aired on social networks shapes the profile of their users, constructing identities which, according to Hall (2006), are multiple and non-permanent . This research seeks to examine the use of Twitter by school students, developing a reflection on the construction of their own identities in cyberspace. The subjects are students of Educandário Nossa Senhora das Vitórias, private school in Assú/RN, all graduates from high school. Understanding the Vestibular year as a decisive and a reflection engine ever present about their condition of students, subjects eventually express their anxieties, fears and perspectives in the virtual environment, providing us with enough material to analyze how they are high school students, expectations for appropriate selection processes, plus several representations belonging to the school environment. From the discourse conveyed on Twitter expressed in Featured posts, this study reveals the identities of high school students that emerge from it, which led the cast of some evidence. From them, despite the multiplicity of identities observed, presented some common aspects that corroborate the requirements provided for specific objectives, such as: feeling of belonging to a group - class and school; change of routine and behavior towards education; desecration of traditional teaching practices; changing the identity of students'writings. The analysis of postings enables us to know the perceptions of students regarding the school, the disciplines , the pace of studies, interest in school practices, and from such evidence, the perception of how vestibular modify your daily life and a fondness their identities as school students. Advisors/Committee Members: Faria, Marilia Varella Bezerra de (advisor), 40604527420 (advisor), http://lattes.cnpq.br/9374738955386775 (advisor).

Subjects/Keywords: Cibercultura; Identidade; Linguagem; Twitter; Vestibulando

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Freire, A. E. D. (2014). O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/19923

Chicago Manual of Style (16^th Edition):

Freire, Alan Eugênio Dantas. “O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter .” 2014. Masters Thesis, Universidade do Rio Grande do Norte. Accessed March 01, 2021. http://repositorio.ufrn.br/handle/123456789/19923.

MLA Handbook (7^th Edition):

Freire, Alan Eugênio Dantas. “O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter .” 2014. Web. 01 Mar 2021.

Vancouver:

Freire AED. O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2014. [cited 2021 Mar 01]. Available from: http://repositorio.ufrn.br/handle/123456789/19923.

Council of Science Editors:

Freire AED. O canto dos vestibulandos em 140 caracteres: linguagem e construção de identidades no Twitter . [Masters Thesis]. Universidade do Rio Grande do Norte; 2014. Available from: http://repositorio.ufrn.br/handle/123456789/19923

Cornell University

18. Zhou, Jiahui. WHY AI ALT TEXT GENERATOR FAIL.

Degree: M.S., Information Science, Information Science, 2020, Cornell University

URL: http://hdl.handle.net/1813/70231

► We did the research on the reason why AI Altgenerator fail. We collect the data from Twitter and label the data manually. Based on the… (more)

Subjects/Keywords: AI; ALT TEXT; Twitter

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APA (6^th Edition):

Zhou, J. (2020). WHY AI ALT TEXT GENERATOR FAIL. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/70231

Chicago Manual of Style (16^th Edition):

Zhou, Jiahui. “WHY AI ALT TEXT GENERATOR FAIL.” 2020. Masters Thesis, Cornell University. Accessed March 01, 2021. http://hdl.handle.net/1813/70231.

MLA Handbook (7^th Edition):

Zhou, Jiahui. “WHY AI ALT TEXT GENERATOR FAIL.” 2020. Web. 01 Mar 2021.

Vancouver:

Zhou J. WHY AI ALT TEXT GENERATOR FAIL. [Internet] [Masters thesis]. Cornell University; 2020. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1813/70231.

Council of Science Editors:

Zhou J. WHY AI ALT TEXT GENERATOR FAIL. [Masters Thesis]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/70231

Cornell University

19. Vahdat, Saba. Social Media In The Workplace: Legal Issues & Strategies For Managing Virtual Communication At Work.

Degree: M.S., Industrial and Labor Relations, Industrial and Labor Relations, 2014, Cornell University

URL: http://hdl.handle.net/1813/37129

► With nearly one in four people worldwide maintaining active profiles on social networking sites like Facebook and Twitter, perhaps it was inevitable that employees would… (more)

Subjects/Keywords: Social Media; Facebook; Twitter

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APA (6^th Edition):

Vahdat, S. (2014). Social Media In The Workplace: Legal Issues & Strategies For Managing Virtual Communication At Work. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/37129

Chicago Manual of Style (16^th Edition):

Vahdat, Saba. “Social Media In The Workplace: Legal Issues & Strategies For Managing Virtual Communication At Work.” 2014. Masters Thesis, Cornell University. Accessed March 01, 2021. http://hdl.handle.net/1813/37129.

MLA Handbook (7^th Edition):

Vahdat, Saba. “Social Media In The Workplace: Legal Issues & Strategies For Managing Virtual Communication At Work.” 2014. Web. 01 Mar 2021.

Vancouver:

Vahdat S. Social Media In The Workplace: Legal Issues & Strategies For Managing Virtual Communication At Work. [Internet] [Masters thesis]. Cornell University; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1813/37129.

Council of Science Editors:

Vahdat S. Social Media In The Workplace: Legal Issues & Strategies For Managing Virtual Communication At Work. [Masters Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/37129

University of Georgia

20. Thompson, Kyle Maurice. Assessment of information credibility in Twitter.

Degree: 2015, University of Georgia

URL: http://hdl.handle.net/10724/31521

► In today’s society, social media has become one of the primary sources of obtaining information. Citizens utilize social media platforms to familiarize themselves with and… (more)

Subjects/Keywords: Social Media; Twitter credibility

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Thompson, K. M. (2015). Assessment of information credibility in Twitter. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/31521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Thompson, Kyle Maurice. “Assessment of information credibility in Twitter.” 2015. Thesis, University of Georgia. Accessed March 01, 2021. http://hdl.handle.net/10724/31521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Thompson, Kyle Maurice. “Assessment of information credibility in Twitter.” 2015. Web. 01 Mar 2021.

Vancouver:

Thompson KM. Assessment of information credibility in Twitter. [Internet] [Thesis]. University of Georgia; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10724/31521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thompson KM. Assessment of information credibility in Twitter. [Thesis]. University of Georgia; 2015. Available from: http://hdl.handle.net/10724/31521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

21. Ritterman, Joshua. Social media pecking order : analysing Twitter information streams.

Degree: 2013, University of Edinburgh

URL: http://hdl.handle.net/1842/9947

► This thesis investigates how authority is distributed in social media and develops a novel method to validate the finding using prediction markets. By modelling prediction… (more)

▼ This thesis investigates how authority is distributed in social media and develops a novel method to validate the finding using prediction markets. By modelling prediction markets with a data corpus comprising of both microblog and traditional blogs data a objective metric is established to validate a method to select the most authoritative information in Twitter. Also the question of what is the primary unit of authority in twitter is addressed by looking at methods that extract authoritative posts and comparing them to methods that extract the most authoritative users. It is not immediately clear how to measure the success of a system that claims to identify authority. There are a number of ways to decide what constitutes an authoritative post, but many of them are too subjective or abstract. Such as, looking simply at the number of people that repeat a tweet or a subjective polling of users regarding the influence a user has. The approach in this thesis is to use a forecast of a prediction market trained on a language model derived from the posts of a selected group of users or tweets. This method yields a measurable and objective method for determining the informative value of a set of Twitter posts. If a non-random sample of tweets deemed to be authoritative is used, the model should result in a better forecast than the baseline of random tweets. Using this method a number of theories of authority in twitter are examined. The corpus used consisted of Twitter posts that were collected on a daily basis by a crawler from the beginning of April 2009 until January 1st 2010. Four prediction market questions were selected to use when evaluating the the notions of authority. Two general news related questions, one technology news question and two sports questions. when looking at questions posed to the population in general, that are largely opinion based, a small subset of informative users can be selected. This provides support for the idea that authority in twitter is centred around the user rather then the individual tweet. It can be seen that by selecting only a few users, it is possible to get as much information from this small authoritative group as would be required by selecting many more users at random. This demonstrates that for this type of question, there exists methods for finding authoritative users. In this experiment, the top 10 users accounted for 76.9% of the forecast information for the flu related question. Other types of questions though were less conclusive. Question that were more more focused on facts blurred the lines, and it was harder to see if it is users or tweets that carried the most authority. Advisors/Committee Members: Klein, Ewan, Osborne, Miles.

Subjects/Keywords: social media; Twitter; authority; prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ritterman, J. (2013). Social media pecking order : analysing Twitter information streams. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/9947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ritterman, Joshua. “Social media pecking order : analysing Twitter information streams.” 2013. Thesis, University of Edinburgh. Accessed March 01, 2021. http://hdl.handle.net/1842/9947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ritterman, Joshua. “Social media pecking order : analysing Twitter information streams.” 2013. Web. 01 Mar 2021.

Vancouver:

Ritterman J. Social media pecking order : analysing Twitter information streams. [Internet] [Thesis]. University of Edinburgh; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1842/9947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ritterman J. Social media pecking order : analysing Twitter information streams. [Thesis]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/9947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Stellenbosch University

22. Baillie-Stewart, Adrian. An exploration of South African news organisations’FeesMustFall tweet-activity on the Twitter networked public sphere.

Degree: MA, Journalism, 2017, Stellenbosch University

URL: http://hdl.handle.net/10019.1/102707

►

ENGLISH ABSTRACT: This study contributes towards the study of journalism in the age of social media and the role of the news organisation in the… (more)

▼

ENGLISH ABSTRACT: This study contributes towards the study of journalism in the age of social media and the role of the news organisation in the Twitter networked public sphere. The convergence of news media and social networks has resulted in the media industry being “challenged by a complex environment” (Villi, Matikainen & Khaldarova, 2016: 289). The primary focus of the study was to explore South African news organisations’FeesMustFall tweet-activity that took place on the Twitter networked public sphere for the period 15 to 23 October 2015. On 22 October 2015 the #FeesMustFall hashtag was trending on Twitter and featured prominently in news-media articles, stories and news reports. On 23 October 2015, President Zuma announced a zero fee increase for the 2016 academic year (Hosken, 2015). Relevant to the #FeesMustFall debate, this study endeavoured to determine how South African news organisations played their journalistic role (or not) on Twitter. This was facilitated by investigating South African news organisations’ use of the Twitter platform’s unique microblog features (e.g., direct messaging (DM), @mentions, and URL links) in their tweets. The theoretical paradigms of media functionalism, the information society and the networked public sphere were combined to establish a unique hybrid theoretical model that best-informs and best-supports the academic analysis of phenomena specific to this study. The study employed the use of a mixedmethods computer-assistive methodology, using the Tableau® software application in order to process South African news organisations’ tweets that featured the “#FeesMustFall” hashtag. The findings reveal some shortcomings and inconsistencies in news organisations’ quality of journalistic-type information that was published on Twitter. The study concludes with a discussion and a set of recommendations on three levels: the empirical, theoretical and methodological levels. The primary recommendation is that South African news organisations might wish to relook their current Twittercontent publishing strategy and refine their best practices for Twitter usage.

AFRIKAANS OPSOMMING: Hierdie studie dra by tot ‘n veld van ondersoek in die joernalistiek midde in ’n era van die gebruik van sosiale media, insluitend die rol van nuusorganisasies en die toenemende gebruik van Twitter in die openbare domein. Die konvergensie van nuusmedia en sosiale netwerke het tot gevolg dat die media-industrie toenemend uitgedaag word deur meer komplekse omgewings (sien Villi, Matikainen & Khaldarova, 2016: 289), en dus fokus die studie primêr op ’n ondersoek na Suid-Afrikaanse nuusorganisasies se #FeesMustFall Twitter aktiwiteite gedurende die tydperk van 15 tot 23 Oktober 2015. Op 22 Oktober 2015 was die #FeesMustFall handvatsel (hashtag) ‘n gewilde onderwerp in media-artikels, mediaberigte en nuusverslaggewing en teen 23 Oktober 2015 kondig president Zuma aan dat daar geen verhoging in studentegelde sou wees vir die 2016 akademiese jaar nie (Hosken, 2015). Relevant tot…

Advisors/Committee Members: Botma, Gabriel, Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Journalism..

Subjects/Keywords: Social networks; Twitter; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Baillie-Stewart, A. (2017). An exploration of South African news organisations’FeesMustFall tweet-activity on the Twitter networked public sphere. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/102707

Chicago Manual of Style (16^th Edition):

Baillie-Stewart, Adrian. “An exploration of South African news organisations’FeesMustFall tweet-activity on the Twitter networked public sphere.” 2017. Masters Thesis, Stellenbosch University. Accessed March 01, 2021. http://hdl.handle.net/10019.1/102707.

MLA Handbook (7^th Edition):

Baillie-Stewart, Adrian. “An exploration of South African news organisations’FeesMustFall tweet-activity on the Twitter networked public sphere.” 2017. Web. 01 Mar 2021.

Vancouver:

Baillie-Stewart A. An exploration of South African news organisations’FeesMustFall tweet-activity on the Twitter networked public sphere. [Internet] [Masters thesis]. Stellenbosch University; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10019.1/102707.

Council of Science Editors:

Baillie-Stewart A. An exploration of South African news organisations’FeesMustFall tweet-activity on the Twitter networked public sphere. [Masters Thesis]. Stellenbosch University; 2017. Available from: http://hdl.handle.net/10019.1/102707

Leiden University

23. Luitwieler, Neal Thomas. Haatspraak, sociale media en politieke voorkeur.

Degree: 2018, Leiden University

URL: http://hdl.handle.net/1887/67298

► Het doel van dit exploratieve onderzoek was om erachter te komen of linkse en rechtse jongeren verschillen in hun tolerantie ten opzichte van haatspraak op… (more)

Subjects/Keywords: haatspraak; sociale media; facebook; twitter

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APA (6^th Edition):

Luitwieler, N. T. (2018). Haatspraak, sociale media en politieke voorkeur. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/67298

Chicago Manual of Style (16^th Edition):

Luitwieler, Neal Thomas. “Haatspraak, sociale media en politieke voorkeur.” 2018. Masters Thesis, Leiden University. Accessed March 01, 2021. http://hdl.handle.net/1887/67298.

MLA Handbook (7^th Edition):

Luitwieler, Neal Thomas. “Haatspraak, sociale media en politieke voorkeur.” 2018. Web. 01 Mar 2021.

Vancouver:

Luitwieler NT. Haatspraak, sociale media en politieke voorkeur. [Internet] [Masters thesis]. Leiden University; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1887/67298.

Council of Science Editors:

Luitwieler NT. Haatspraak, sociale media en politieke voorkeur. [Masters Thesis]. Leiden University; 2018. Available from: http://hdl.handle.net/1887/67298

University of Pretoria

24. Gussenhoven, Chad Jahannes. Twitter’s effect on share price movements of the Johannesburg Stock Exchange.

Degree: MBA, Gordon Institute of Business Science (GIBS), 2013, University of Pretoria

URL: http://hdl.handle.net/2263/41977

► This research project examines the link between social media and its effect on stock exchanges and movement of stocks. The study uses Twitter as its… (more)

Subjects/Keywords: UCTD; Twitter; Stock price forcasting

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APA (6^th Edition):

Gussenhoven, C. J. (2013). Twitter’s effect on share price movements of the Johannesburg Stock Exchange. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/41977

Chicago Manual of Style (16^th Edition):

Gussenhoven, Chad Jahannes. “Twitter’s effect on share price movements of the Johannesburg Stock Exchange.” 2013. Masters Thesis, University of Pretoria. Accessed March 01, 2021. http://hdl.handle.net/2263/41977.

MLA Handbook (7^th Edition):

Gussenhoven, Chad Jahannes. “Twitter’s effect on share price movements of the Johannesburg Stock Exchange.” 2013. Web. 01 Mar 2021.

Vancouver:

Gussenhoven CJ. Twitter’s effect on share price movements of the Johannesburg Stock Exchange. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2263/41977.

Council of Science Editors:

Gussenhoven CJ. Twitter’s effect on share price movements of the Johannesburg Stock Exchange. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/41977

University of Nairobi

25. Gitau, Eric. An approach for using twitter to perform sentiment analysis in Kenya .

Degree: 2011, University of Nairobi

URL: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196

► The interest in sentiment analysis as a research area has become increasingly popular with the development of new social interaction technologies. Twitter, being one of… (more)

▼ The interest in sentiment analysis as a research area has become increasingly popular with the development of new social interaction technologies. Twitter, being one of these new technologies, presents a unique environment where one can track sentiments expressed about various topics. This report therefore considers the problem of attempting to classify sentiments expressed on twitter about certain products, services or personalities as being positive, negative or neutral. The approach adopted to solve this problem is through the use of machine learning methods. In particular, the Naïve Bayes model is chosen to build the classifier. This being a learning problem, training data and testing data is required. Two methods of collecting training data are considered and their impact on the performance of the classifier is discussed. The first method is distant supervision, where emoticons are used as labels to identify and collect training data that contains sentiment information. The other method is manual supervision where a human trainer manually identifies and labels training data with that contains the necessary sentiment information. It is discovered that using distant supervision to collect training data results in poorer performance, than using manual supervision techniques, even where the training set collected using distant supervision is larger than the training set from the manual supervision techniques. Using emoticons as labels to identify 5000 tweets as training data, the classifier performed with an accuracy of 70.3% compared to use of 500 hand labeled tweets as training data which resulted in 76.3% accuracy. A third method for collecting training data using manual supervision methods is also suggested and its performance is also discussed. This method which uses hand labeled keywords grouped according to word characteristics yields a performance of 80.3%. This report concludes by giving recommendations of ideal models to start with when attempting to develop a twitter based sentiment classifier. A software tool, developed using the learning model to classify live streams of data from twitter into positive, negative or neutral classes and provide a summary of results, is also demonstrated.

Subjects/Keywords: twitter; sentiment analysis; Kenya

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gitau, E. (2011). An approach for using twitter to perform sentiment analysis in Kenya . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gitau, Eric. “An approach for using twitter to perform sentiment analysis in Kenya .” 2011. Thesis, University of Nairobi. Accessed March 01, 2021. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gitau, Eric. “An approach for using twitter to perform sentiment analysis in Kenya .” 2011. Web. 01 Mar 2021.

Vancouver:

Gitau E. An approach for using twitter to perform sentiment analysis in Kenya . [Internet] [Thesis]. University of Nairobi; 2011. [cited 2021 Mar 01]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gitau E. An approach for using twitter to perform sentiment analysis in Kenya . [Thesis]. University of Nairobi; 2011. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10196

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidad de Chile

26. Rojo Pizarro, Rodrigo. Existe alguna relación entre la audiencia televisiva y la cantidad de tweets sobre un programa : el caso de Mundos Opuestos.

Degree: 2012, Universidad de Chile

URL: http://repositorio.uchile.cl/handle/2250/111105

► La forma de entender y usar los medios ha cambiado significativamente en las últimas décadas. Gracias al vertiginoso desarrollo de las tecnologías de la información… (more)

▼ La forma de entender y usar los medios ha cambiado significativamente en las últimas décadas. Gracias al vertiginoso desarrollo de las tecnologías de la información han nacido y se han consolidado medios (Internet) que permiten una interacción bidireccional los cuales se han acoplado más que reemplazado al uso de medios tradicionales en diversas formas, una de las cuales se da a través de los comentarios que realizan los espectadores a través Twitter o Facebook. Por otro lado, existe en la actualidad el debate sobre la eliminación o no del People Meter © Online, herramienta que permite medir las audiencias en tiempo real, lo que puede cambiar el cómo funciona la industria tal y como la conocemos. En base a esta inquietud el presente estudio examinó como es la relación entre el nivel de audiencia y la cantidad de comentarios acerca de un mismo programa en la red social Twitter de manera de determinar si esta medida es una alternativa viable para el Rating Online o se trata de una medición complementaria. Se utilizó el caso del programa chileno Mundos Opuestos de Canal 13, que tuvo un alto nivel de audiencia y se transmitió de manera franjeada en horario prime durante el primer semestre del año 2012, encontrándose importante evidencia. En primer lugar se encontró una correlación significativa y positiva alta entre el nivel de audiencia y la cantidad de tweets sobre el programa a nivel total y en casi todos los segmentos, entregando evidencia empírica sobre Twitter como un espejo de lo que es contingente a nivel de sociedad. En segundo lugar se encontró que existe una relación temporal a nivel diario significativa para casi todos los segmentos entre la cantidad de tweets de la emisión anterior y el rating actual, y viceversa. Sin embargo la relación tiene un grado de ajuste bajo. Dado lo anterior se puede afirmar que la cantidad de tweets puede ser considerada una métrica paralela que está asociada al rating online al menos en un programa de alta popularidad. Sin embargo, no se puede afirmar que ambas midan exactamente el mismo fenómeno. Es posible hipotetizar que, más que preferencia sobre un programa, evalúa su popularidad en términos de las apreciaciones de los distintos espectadores a partir de lo que está ocurriendo en el programa. Dicho de otro modo, el uso de Twitter puede ser usado más bien como una medida de impacto social del programa televisivo.

Subjects/Keywords: Redes sociales – Chile; Televisión; Twitter

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rojo Pizarro, R. (2012). Existe alguna relación entre la audiencia televisiva y la cantidad de tweets sobre un programa : el caso de Mundos Opuestos. (Thesis). Universidad de Chile. Retrieved from http://repositorio.uchile.cl/handle/2250/111105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rojo Pizarro, Rodrigo. “Existe alguna relación entre la audiencia televisiva y la cantidad de tweets sobre un programa : el caso de Mundos Opuestos.” 2012. Thesis, Universidad de Chile. Accessed March 01, 2021. http://repositorio.uchile.cl/handle/2250/111105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rojo Pizarro, Rodrigo. “Existe alguna relación entre la audiencia televisiva y la cantidad de tweets sobre un programa : el caso de Mundos Opuestos.” 2012. Web. 01 Mar 2021.

Vancouver:

Rojo Pizarro R. Existe alguna relación entre la audiencia televisiva y la cantidad de tweets sobre un programa : el caso de Mundos Opuestos. [Internet] [Thesis]. Universidad de Chile; 2012. [cited 2021 Mar 01]. Available from: http://repositorio.uchile.cl/handle/2250/111105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rojo Pizarro R. Existe alguna relación entre la audiencia televisiva y la cantidad de tweets sobre un programa : el caso de Mundos Opuestos. [Thesis]. Universidad de Chile; 2012. Available from: http://repositorio.uchile.cl/handle/2250/111105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Guelph

27. Beswick, Adam. #Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season.

Degree: MS, Department of Population Medicine, 2016, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9875

► This study explored the utility of Twitter metadata as it relates to influenza surveillance in Canada. Twitter metadata posted between July 2013 and August 2014… (more)

Subjects/Keywords: Influenza; Twitter; surveillance; Canada

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Beswick, A. (2016). #Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9875

Chicago Manual of Style (16^th Edition):

Beswick, Adam. “#Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season.” 2016. Masters Thesis, University of Guelph. Accessed March 01, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9875.

MLA Handbook (7^th Edition):

Beswick, Adam. “#Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season.” 2016. Web. 01 Mar 2021.

Vancouver:

Beswick A. #Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season. [Internet] [Masters thesis]. University of Guelph; 2016. [cited 2021 Mar 01]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9875.

Council of Science Editors:

Beswick A. #Outbreak: An Exploration of Twitter metadata as a means to supplement influenza surveillance in Canada during the 2013-2014 influenza season. [Masters Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9875

28. Zheng, Hongguang. Classification of Microblog Posts Based on Information Publicness : 情報の公共性に基づくMicroblog記事の分類.

Degree: 修士(情報理工学), 2017, The University of Tokyo / 東京大学

URL: http://hdl.handle.net/2261/51760

► Microblog, especially Twitter today has become an important tool to propagate public information among Internet users. The content of Twitter is an extraordinarily large number… (more)

Subjects/Keywords: Twitter; Classification; Label propagation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zheng, H. (2017). Classification of Microblog Posts Based on Information Publicness : 情報の公共性に基づくMicroblog記事の分類. (Thesis). The University of Tokyo / 東京大学. Retrieved from http://hdl.handle.net/2261/51760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zheng, Hongguang. “Classification of Microblog Posts Based on Information Publicness : 情報の公共性に基づくMicroblog記事の分類.” 2017. Thesis, The University of Tokyo / 東京大学. Accessed March 01, 2021. http://hdl.handle.net/2261/51760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zheng, Hongguang. “Classification of Microblog Posts Based on Information Publicness : 情報の公共性に基づくMicroblog記事の分類.” 2017. Web. 01 Mar 2021.

Vancouver:

Zheng H. Classification of Microblog Posts Based on Information Publicness : 情報の公共性に基づくMicroblog記事の分類. [Internet] [Thesis]. The University of Tokyo / 東京大学; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/2261/51760.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zheng H. Classification of Microblog Posts Based on Information Publicness : 情報の公共性に基づくMicroblog記事の分類. [Thesis]. The University of Tokyo / 東京大学; 2017. Available from: http://hdl.handle.net/2261/51760

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Tampere University

29. Seppänen, Tuomo. Akateemisiin tuotoksiin linkittävien Twitter-viestien sisällönanalyysi altmetriikan näkökulmasta.

Degree: 2018, Tampere University

URL: https://trepo.tuni.fi/handle/10024/102820

► Altmetriikka on uusi tulokas tieteen arvioinnin tutkimusalojen joukossa. Sen tarkoituksena on kerätä tieteellisten tuotosten saamat maininnat eri verkkolähteissä ja koota ne helposti tarkasteltaviksi yhteen paikkaan.… (more)

Subjects/Keywords: altmetriikka; huomio; sisällönanalyysi; Twitter; vaikuttavuus

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APA (6^th Edition):

Seppänen, T. (2018). Akateemisiin tuotoksiin linkittävien Twitter-viestien sisällönanalyysi altmetriikan näkökulmasta. (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/102820

Chicago Manual of Style (16^th Edition):

Seppänen, Tuomo. “Akateemisiin tuotoksiin linkittävien Twitter-viestien sisällönanalyysi altmetriikan näkökulmasta.” 2018. Masters Thesis, Tampere University. Accessed March 01, 2021. https://trepo.tuni.fi/handle/10024/102820.

MLA Handbook (7^th Edition):

Seppänen, Tuomo. “Akateemisiin tuotoksiin linkittävien Twitter-viestien sisällönanalyysi altmetriikan näkökulmasta.” 2018. Web. 01 Mar 2021.

Vancouver:

Seppänen T. Akateemisiin tuotoksiin linkittävien Twitter-viestien sisällönanalyysi altmetriikan näkökulmasta. [Internet] [Masters thesis]. Tampere University; 2018. [cited 2021 Mar 01]. Available from: https://trepo.tuni.fi/handle/10024/102820.

Council of Science Editors:

Seppänen T. Akateemisiin tuotoksiin linkittävien Twitter-viestien sisällönanalyysi altmetriikan näkökulmasta. [Masters Thesis]. Tampere University; 2018. Available from: https://trepo.tuni.fi/handle/10024/102820

University of Illinois – Chicago

30. Piras, Massimo. Detection of Suspicious Users Posting Claims about Cancer on Twitter.

Degree: 2018, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/23036

► Due to the massive success of social media, online user-generated content has increased exponentially in the last years. Twitter, as a microblogging platform, allows users… (more)

Subjects/Keywords: cancer; Twitter; spam-detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Piras, M. (2018). Detection of Suspicious Users Posting Claims about Cancer on Twitter. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23036

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Piras, Massimo. “Detection of Suspicious Users Posting Claims about Cancer on Twitter.” 2018. Thesis, University of Illinois – Chicago. Accessed March 01, 2021. http://hdl.handle.net/10027/23036.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Piras, Massimo. “Detection of Suspicious Users Posting Claims about Cancer on Twitter.” 2018. Web. 01 Mar 2021.

Vancouver:

Piras M. Detection of Suspicious Users Posting Claims about Cancer on Twitter. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10027/23036.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Piras M. Detection of Suspicious Users Posting Claims about Cancer on Twitter. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/23036

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations